ZipRecruiter

Log In

1

Model Predictive Control Jobs in New Jersey (NOW HIRING)

bluecrux

Anaplan Solution Architect

Millburn, NJ · On-site

$140 - $180/hr

... predictive analytics, and cloud collaboration. Translate customer requirements into detailed ... Ensure project control through rigorous model compliance, clear communication, and effective change ...

DTCC

Embedded Risk Associate Director

Jersey City, NJ · On-site

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... to predictive risk management, enabling early identification of emerging risks and control ...

II-VI Incorporated

Manufacturing Engineer

Budd Lake, NJ

$74K - $96K/yr

... flows, capacity models, and PFMEAs. * Evaluate and improve material utilization, WIP flow ... Apply AI-enabled tools, analytics, dashboards, and predictive methods to improve process visibility ...

Coherent

Manufacturing Engineer

Budd Lake, NJ

$74K - $96K/yr

... flows, capacity models, and PFMEAs. * Evaluate and improve material utilization, WIP flow ... Apply AI-enabled tools, analytics, dashboards, and predictive methods to improve process visibility ...

Coherent Corp.

Manufacturing Engineer

Budd Lake, NJ · On-site

$74K - $96K/yr

... flows, capacity models, and PFMEAs. * Evaluate and improve material utilization, WIP flow ... Apply AI-enabled tools, analytics, dashboards, and predictive methods to improve process visibility ...

Coherent

Manufacturing Engineer

Budd Lake, NJ

$74K - $96K/yr

... flows, capacity models, and PFMEAs. * Evaluate and improve material utilization, WIP flow ... Apply AI-enabled tools, analytics, dashboards, and predictive methods to improve process visibility ...

Coherent

Manufacturing Engineer

Mount Olive, NJ · On-site

$74K - $96K/yr

... flows, capacity models, and PFMEAs. * Evaluate and improve material utilization, WIP flow ... Apply AI-enabled tools, analytics, dashboards, and predictive methods to improve process visibility ...

NAES

Plant Engineer

Linden, NJ · On-site

Manage predictive maintenance programs, including vibration analysis, air-in leakage monitoring ... Oversee operations modeling, data collection, and GADS entry/validation to ensure accurate ...

previous page

Showing results 41-60

All JobsModel Predictive Control JobsModel Predictive Control Jobs in New Jersey

Model Predictive Control information

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
What are popular job titles related to Model Predictive Control jobs in New Jersey? For Model Predictive Control jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in New Jersey look for? The top searched job categories for Model Predictive Control jobs in New Jersey are:
Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Scientist

Signature Science, LLC

Egg Harbor Township, NJ

$75K/yr

Full-time

Re-posted 12 days ago

Job description

Position Purpose: 

The primary purpose of this position is to serve as the data scientist with a split portfolio between the Atlantic City office and the Austin chemistry group.

Essential Duties and Responsibilities:

  • Performs data analytics, specifically data clean-up, data processing, predictive modeling, chemometric statistical modeling and analysis, multivariate data analysis, machine learning, and/or data mining, as related to scientific data.
  • Applies technical skills to plan and execute assigned project work including development of computational models, programming of detection algorithms, and machine learning.
  • Maintains operational capabilities of computation assets as needed by project requirements.
  • Leads meetings with company clients by preparing and presenting meeting materials in meetings.
  • Appropriately annotates project developed computer code through comments and user manuals.
  • Presents technical results through the drafting of technical reports. 
  • Presents experimental results and recommended actions at internal project meetings.
  • Supports business development efforts as needed by drafting technical sections of proposals, providing proposal review, assessing levels of effort required to complete proposed work, and brainstorming technical solutions to client problems.
  • Other duties as assigned.

Required Knowledge, Skills & Abilities:

  • Ability to plan sequence of experiments to answer complicated technical questions
  • Ability to lead group of co-workers in execution of a task
  • Software programming proficiency with Java, C, R, Python, and/or MATLAB
  • Working knowledge of statistics as it applies to scientific data
  • Ability to communicate technical information to non-technical audiences
  • Team player with a positive attitude
  • Department of Homeland Security Suitability
  • Department of Defense Secret Clearance
  • Working knowledge of software development practices including Agile development and Git version control
  • Sufficient business knowledge to support proposal efforts

 

Education/Experience:

Incumbent professional should have a Ph.D. or master's degree in a physical science (preferably chemistry), statistics, or data science and significant experience in computer programming, computational modeling, or software development.

Certificates and Licenses: 

None

 

Clearance: 

The ability to obtain a Secret clearance and Department of Homeland Security suitability is required for this position.

Supervisory Responsibilities: 

The incumbent professional may oversee junior level staff members performing tasks.

Working Conditions/ Equipment: 

The incumbent professional is expected to work and/or be available during regular business hours.  He/she should also generally be available via e-mail or phone during non-business hours as needed to address critical issues or emergencies.  He/she may be required to travel on behalf of the company up to 25%.

The above job description is not intended to be an all-inclusive list of duties and standards of the position.  Incumbents will follow any other instructions and perform any other related duties, as assigned by their supervisor.